Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2
(674 bytes)
A0195 12 500 5732
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -25 8 0 I
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -17 27 0 II
A0195.mat 16x1+24 1000.0(0)/mV 16 0 7 -4 0 III
A0195.mat 16x1+24 1000.0(0)/mV 16 0 22 -5 0 aVR
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -16 -6 0 aVL
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -5 -13 0 aVF
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -14 -1 0 V1
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -5 19 0 V2
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -82 36 0 V3
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -89 20 0 V4
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -125 -1 0 V5
A0195.mat 16x1+24 1000.0(0)/mV 16 0 -122 29 0 V6
# Age: 71
# Sex: Male
# Dx: 429622005
# Rx: Unknown
# Hx: Unknown
# Sx: Unknown